Data Engineer

Posted 13 Days Ago
Be an Early Applicant
Lisbon
In-Office
Mid level
Fintech • Payments • Software • Financial Services
The Role
As a Data Engineer, you'll build and optimize data infrastructure, manage pipeline migrations, and implement data governance and monitoring tools that improve data quality and observability.
Summary Generated by Built In

Build with us

Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe.

Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind.

We’re one of Europe’s fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you’ll have the freedom to create and the trust to deliver.

If you’re ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you.

Your impact

Data is the lifeblood of Mollie, fueling decisions for over 250 internal users—from Product Managers to Analysts. As a Data Engineer, you will join the team responsible for the infrastructure that makes this possible. We are currently "changing the engine while flying," transitioning from managed services to a robust, self-hosted stack to gain more control and scalability. We have a strong fundament and we’re continuously adding new functionalities to improve our platform capabilities.

You won't just be maintaining pipelines; you will be engineering the platform itself. You will work on migrating our orchestration layer to Kubernetes, implementing strict data contracts, and building the self-service tooling that empowers the rest of the company to move faster. This is a hands-on engineering role where your work directly impacts the reliability and quality of data at Mollie.

What you'll ship

  • Execute the migration of our governance tooling to DataHub on GKE (Kubernetes), giving us greater control and increase our governance capabilities.

  • Build and improve self-service tooling and CI/CD pipelines so analysts and engineers can deploy data models independently.

  • Enhance data observability and quality by implementing data contracts and monitoring tools to catch issues before they hit stakeholders.

  • Develop tools and capabilities for efficient data collection, processing and consumption within the organization.

  • Optimize our GCP infrastructure (BigQuery, Pub/Sub, GCS, GKE) for cost and performance.

What you'll bring

  • 2–5 years of experience in Data Engineering, Platform Engineering, or Backend Engineering with a data focus.

  • Strong coding skills in Python and proficiency in Terraform and SQL.

  • Practical knowledge of Infrastructure as Code (Terraform) and containerization tools (Docker, Kubernetes).

  • Hands-on experience with cloud platforms (GCP is preferred, but AWS or Azure experience translates well).

  • A solid understanding of data orchestration tools like Airflow (or Mage/Prefect/Dagster).

  • Experience working in an event driven architecture

  • An engineering mindset: you prioritize automation, testing, and reliability over manual fixes.

Grow your way

At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.

You’ll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.

No matter if you’re aiming for promotion, exploring a different career path or building new skills, you’ll be supported with the tools, trust and opportunities to grow your way.

Unlock your full potential and join us to eliminate financial bureaucracy

If you're excited by the idea of building what’s next, for yourself and for thousands of businesses across Europe, we’d love to hear from you. Apply with your CV (in English) using the form below.

Want a peek behind the scenes? Check out what life at Mollie is really like.

AI at Mollie

We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day

AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We’re looking for people who are excited to use AI to shape the future of finance with us.

Top Skills

Airflow
BigQuery
Datahub
Docker
GCP
Gcs
Kubernetes
Pub/Sub
Python
SQL
Terraform
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Amsterdam
904 Employees
Year Founded: 2004

What We Do

Mollie offers a single platform for businesses to get paid and manage their money. One that makes payments, reconciliation, reporting, fraud prevention, and financing simple for all – from startups to enterprises.

Founded in 2004, Mollie’s mission is to make payments and money management effortless for every business in Europe. Our 750-strong team works from offices across the continent, including Amsterdam, Ghent, Lisbon, London, Maastricht, Milan, Munich, and Paris.

Today, more than 250,000 businesses use Mollie to drive revenue, reduce costs, and manage funds.

Similar Jobs

Datadog Logo Datadog

Senior Software Engineer

Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Easy Apply
Hybrid
Lisbon, PRT
6500 Employees

SoSafe Logo SoSafe

Data Engineer

Security • Software
In-Office
8 Locations
457 Employees

Darkroom Logo Darkroom

Data Engineer

Agency • Digital Media • eCommerce • Social Media
In-Office
8 Locations
27 Employees
Easy Apply
In-Office or Remote
Lisbon, PRT
96 Employees

Similar Companies Hiring

Granted Thumbnail
Insurance • Healthtech • Financial Services • Artificial Intelligence
New York, New York
23 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees
Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account